Studying Mutual Phonetic Influence with a Web-Based Spoken Dialogue System

09/13/2018
by   Eran Raveh, et al.
0

This paper presents a study on mutual speech variation influences in a human-computer setting. The study highlights behavioral patterns in data collected as part of a shadowing experiment, and is performed using a novel end-to-end platform for studying phonetic variation in dialogue. It includes a spoken dialogue system capable of detecting and tracking the state of phonetic features in the user's speech and adapting accordingly. It provides visual and numeric representations of the changes in real time, offering a high degree of customization, and can be used for simulating or reproducing speech variation scenarios. The replicated experiment presented in this paper along with the analysis of the relationship between the human and non-human interlocutors lays the groundwork for a spoken dialogue system with personalized speaking style, which we expect will improve the naturalness and efficiency of human-computer interaction.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/01/2023

I Know Your Feelings Before You Do: Predicting Future Affective Reactions in Human-Computer Dialogue

Current Spoken Dialogue Systems (SDSs) often serve as passive listeners ...
research
06/09/2011

Automatically Training a Problematic Dialogue Predictor for a Spoken Dialogue System

Spoken dialogue systems promise efficient and natural access to a large ...
research
04/06/2015

A Metric to Classify Style of Spoken Speech

The ability to classify spoken speech based on the style of speaking is ...
research
09/20/2023

Towards Joint Modeling of Dialogue Response and Speech Synthesis based on Large Language Model

This paper explores the potential of constructing an AI spoken dialogue ...
research
06/24/2022

End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue

The recent text-to-speech (TTS) has achieved quality comparable to that ...
research
05/01/2021

It's not what you said, it's how you said it: discriminative perception of speech as a multichannel communication system

People convey information extremely effectively through spoken interacti...

Please sign up or login with your details

Forgot password? Click here to reset